Many popular online platforms offer recommendation services to assist consumers to browse through the enormous volume and variety of product or service offerings. By providing this service, the platform controls the interaction between the two stakeholders of the market place, namely consumers and suppliers. However, most of the commercial recommender systems are consumer-centric, and with the aid of advanced AI technologies, tailor the results to the personal preferences of individual customers. Market studies revealed that such customer-centric designs are increasingly leading to unfair distribution of exposure among the suppliers and thereby, dampening supplier participation in the platform.
Over novel WIRE framework embedded in the ChrysalisGold ASPEN platform complements the advanced AI technologies with economic mechanism design principles and offers a recommendation service to strike a balance between fair distribution of exposure among suppliers and satisfaction of the participating customers.